SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 601–650 of 1237 papers

TitleStatusHype
Ae^2I: A Double Autoencoder for Imputation of Missing Values—0
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction—0
Modeling Sequential Recommendation as Missing Information ImputationCode0
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets—0
Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction—0
Robust and Scalable Gaussian Process Regression and Its ApplicationsCode0
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal ImputationCode1
Data Imputation with Iterative Graph ReconstructionCode1
Explainability as statistical inference—0
Shared Differential Clustering across Single-cell RNA Sequencing Datasets with the Hierarchical Dirichlet Process—0
Laplacian Convolutional Representation for Traffic Time Series Imputation—0
Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image SynthesisCode1
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder—0
Bayesian Simultaneous Factorization and Prediction Using Multi-Omic DataCode0
Utility Assessment of Synthetic Data Generation MethodsCode0
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete DataCode0
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic—0
The Missing Indicator Method: From Low to High DimensionsCode0
On counterfactual inference with unobserved confounding—0
Dealing with missing data using attention and latent space regularizationCode0
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction—0
Efficient HLA imputation from sequential SNPs data by TransformerCode0
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values—0
DiffPhase: Generative Diffusion-based STFT Phase Retrieval—0
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets—0
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion—0
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node ClassifiersCode0
Diffusion models for missing value imputation in tabular dataCode1
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation—0
Imputation of missing values in multi-view data—0
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality SequencesCode1
Deep Learning in Single-Cell AnalysisCode3
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing DataCode1
EGG-GAE: scalable graph neural networks for tabular data imputation—0
Improving Medical Predictions by Irregular Multimodal Electronic Health Records ModelingCode1
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques—0
Learning Multivariate CDFs and Copulas using Tensor Factorization—0
Reward Imputation with Sketching for Contextual Batched Bandits—0
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt LearningCode1
Combining datasets to increase the number of samples and improve model fittingCode0
Towards Joint Electricity and Data Trading: A Scalable Cooperative Game Theoretic Approach—0
Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset—0
TimesNet: Temporal 2D-Variation Modeling for General Time Series AnalysisCode6
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems—0
Polar Encoding: A Simple Baseline Approach for Classification with Missing Values—0
Generating Synthetic Data with Locally Estimated Distributions for Disclosure ControlCode0
Reward Shaping for User Satisfaction in a REINFORCE Recommender—0
Leveraging variational autoencoders for multiple data imputationCode0
Retrieval Based Time Series Forecasting—0
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness—0
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All datasetsHMNISTPhysioNet Challenge 2012Sprites

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)MSE0—Unverified